Robin Allesiardo

18 papers A 1B 4Journal 5Unranked 7
YearRankTypeTitle / Venue / Authors
2021 J jnl
A survey on training and evaluation of word embeddings.
Int. J. Data Sci. Anal.
François Torregrossa, Robin Allesiardo, Vincent Claveau, Nihel Kooli, Guillaume Gravier
2021 — conf
Unsupervised Tree Extraction in Embedding Spaces for Taxonomy Induction.
WI/IAT
François Torregrossa, Robin Allesiardo, Vincent Claveau, Guillaume Gravier
2020 B conf
A correlation-based entity embedding approach for robust entity linking.
ICTAI
Cheikh Brahim El Vaigh, François Torregrossa, Robin Allesiardo, Guillaume Gravier, Pascale Sébillot
2020 B conf
On the Correlation of Word Embedding Evaluation Metrics.
LREC
François Torregrossa, Vincent Claveau, Nihel Kooli, Guillaume Gravier, Robin Allesiardo
2019 — conf
A Practical Approach to Intelligent Spoken Dialogue for Third-Party Applications on Home Devices with Linear Bandits.
EGC (best of volume)
Robin Allesiardo, Christophe Sauldubois, Fabrice Depaulis, Nicolas Bulteau, Frédéric Chantrel, Erwan Pigneul
2019 — conf
How We Achieved a Production Ready Slot Filling Deep Neural Network Without Initial Natural Language Data.
ICONIP (4)
François Torregrossa, Nihel Kooli, Robin Allesiardo, Erwan Pigneul
2019 — conf
Une méthodologie pour l'implémentation d'applications tierces intelligentes à destination des assistants vocaux via des bandits linéaires.
EGC
Robin Allesiardo, Christophe Sauldubois, Fabrice Depaulis, Nicolas Bulteau, Frédéric Chantrel, Erwan Pigneul
2018 — conf
Deep Learning Based Approach for Entity Resolution in Databases.
ACIIDS (2)
Nihel Kooli, Robin Allesiardo, Erwan Pigneul
2017 B conf
Selection of learning experts.
IJCNN
Robin Allesiardo, Raphaël Féraud
2017 J jnl
The non-stationary stochastic multi-armed bandit problem.
Int. J. Data Sci. Anal.
Robin Allesiardo, Raphaël Féraud, Odalric-Ambrym Maillard
2016 — —
Bandits Manchots sur Flux de Données Non Stationnaires. (Multi-armed bandits for non-stationary data streams).
Robin Allesiardo
2016 A conf
Random Forest for the Contextual Bandit Problem.
AISTATS
Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot
2016 J jnl
Random Shuffling and Resets for the Non-stationary Stochastic Bandit Problem.
CoRR
Robin Allesiardo, Raphaël Féraud, Odalric-Ambrym Maillard
2015 J jnl
Decision Tree Algorithms for the Contextual Bandit Problem.
CoRR
Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot
2015 B conf
EXP3 with drift detection for the switching bandit problem.
DSAA
Robin Allesiardo, Raphaël Féraud
2014 — conf
A Neural Networks Committee for the Contextual Bandit Problem.
ICONIP (1)
Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf
2014 J jnl
A Neural Networks Committee for the Contextual Bandit Problem.
CoRR
Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf
2014 — conf
Contextual Bandit for Active Learning: Active Thompson Sampling.
ICONIP (1)
Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphaël Féraud, Robin Allesiardo